TY - GEN
T1 - Web-based hybrid virtualization laboratory to facilitate network learning
T2 - 2nd International Conference on Information Technology, INCIT 2017
AU - Hwang, Wu Yuin
AU - Haregot, Michaele
AU - Kongcharoen, Chaknarin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Teaching computer networks is one of the core topics in computer science curricula for undergraduate students. Recently, a network emulator has been used for teaching students to configure network devices, such as routers and switches, to practice in real network configuration scenarios without purchasing network hardware. Previous studies usually used standalone emulators to facilitate individual network learning. However, few studies applied collaboration in network learning. In this study, we proposed a web-based Hybrid Virtualization Laboratory (HVLab), which integrates network emulators and virtualization technology. The HVLab can support multiple network configuration scenarios (network emulators) for students to practice. Meanwhile, HVLab also implement collaborative mechanism to facilitate discussion among the experimental students. After experiment, the statistical results showed that the post-test scores of experimental group were higher than the control group. In addition, they outperform the control groups in homework and in-class assignment, especially when experimental students become more familiar with HVLab and know how to get benefit from collaboration using HVlab. Furthermore, the experimental students perceived that was easy to use the HVLab and useful for accomplishing assignment and homework. Most of the students also expressed they were highly motivated to use HVLab as learning tool in the future. Finally, the observation and questionnaire with experimental group showed that collaboration in HVLab was potentially helpful during the experiment.
AB - Teaching computer networks is one of the core topics in computer science curricula for undergraduate students. Recently, a network emulator has been used for teaching students to configure network devices, such as routers and switches, to practice in real network configuration scenarios without purchasing network hardware. Previous studies usually used standalone emulators to facilitate individual network learning. However, few studies applied collaboration in network learning. In this study, we proposed a web-based Hybrid Virtualization Laboratory (HVLab), which integrates network emulators and virtualization technology. The HVLab can support multiple network configuration scenarios (network emulators) for students to practice. Meanwhile, HVLab also implement collaborative mechanism to facilitate discussion among the experimental students. After experiment, the statistical results showed that the post-test scores of experimental group were higher than the control group. In addition, they outperform the control groups in homework and in-class assignment, especially when experimental students become more familiar with HVLab and know how to get benefit from collaboration using HVlab. Furthermore, the experimental students perceived that was easy to use the HVLab and useful for accomplishing assignment and homework. Most of the students also expressed they were highly motivated to use HVLab as learning tool in the future. Finally, the observation and questionnaire with experimental group showed that collaboration in HVLab was potentially helpful during the experiment.
KW - hybrid virtualization
KW - teaching computer network
KW - web-based virtualization laboratories
UR - http://www.scopus.com/inward/record.url?scp=85049432377&partnerID=8YFLogxK
U2 - 10.1109/INCIT.2017.8257876
DO - 10.1109/INCIT.2017.8257876
M3 - 會議論文篇章
AN - SCOPUS:85049432377
T3 - Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017
SP - 1
EP - 6
BT - Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017
A2 - Sawangphol, Wudhichart
A2 - Mitrpanont, Jarernsri L.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 November 2017 through 3 November 2017
ER -